An approach to the detection of lesions in mammograms using fuzzy image processing

---

Atıf İçin Kopyala

Bayram B., Acar U.

JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, cilt.35, ss.790-795, 2007 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 35
• Basım Tarihi: 2007
• Doi Numarası: 10.1177/147323000703500607
• Dergi Adı: JOURNAL OF INTERNATIONAL MEDICAL RESEARCH
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.790-795
• Yıldız Teknik Üniversitesi Adresli: Evet

Özet

An algorithm was developed in this study, using rule-based fuzzy logic, to enable masses that are hard to recognize or detect in mammograms to become more readily perceptible. Small lesions, such as microcalcifications and other masses that are hard to recognize, especially on film-scan mammograms, were processed through segmentation. A total of 40 mammograms were used and they were classified by radiologists into three groups: those with microcalcifications (n = 15), those with tumours (n = 15), and those with no lesions (n = 10). Five mammograms were taken as training data sets from each of the groups with microcalcifications and tumours. The algorithm was then applied to data not taken for training. The algorithm achieved a mean accuracy of 99% compared with the findings of the radiologists.